Personal Data Topic Modelling by Jeff Braun | Sep 2024

SeniorTechInfo
1 Min Read

Unveiling Personal Data: Exploring the Depths with Traditional and Transformer Models

Data privacy has become a hot topic in today’s digital age. With personal data being collected and shared by various companies, it’s essential to understand the extent of information stored about us. In this article, we delve into the realm of data brokers and aggregators to uncover the layers of personal data they hold.

Previously, I discussed accessing personal data from consumer-facing companies. But what about the data brokers who exchange and enhance this information? These aggregators compile data from multiple sources to create detailed profiles used for marketing and beyond.

Delving deeper, I sought to understand the breadth and depth of data stored by these aggregators. How do they categorize and utilize this information? And what does it reveal about their clients and industries?

Personal Data Visualization
Image created by author using ChatGPT 4o and DALL-E-3

In my exploration, I aim to shed light on the intricate world of personal data storage and utilization. By employing traditional and transformer models, we seek to uncover the hidden layers of information held by these intermediaries.

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